42CellsOne connected system for data answers
Connect your data, ask better questions, and ship trustworthy answers across teams.
Natural language → executable analysis workflows, with shared context and auditability—built and executed on your data.
DATEdate | CONVERSIONS# | TOTAL_SPEND# | TOTAL_IMPRESSIONS# |
|---|---|---|---|
| 2026-01-26 | 1 | 4200 | 18600 |
| 2026-01-25 | 3 | 3800 | 12400 |
| 2026-01-24 | 2 | 1200 | 9200 |
| 2026-01-23 | 2 | 2900 | 15800 |
| 2026-01-22 | 1 | 0 | 0 |
Here's what I found across your 5 active campaigns:
Top performer: Product Hunt (Organic) — 528 conversions at $0 spend. This is your highest-converting channel by far.
Best paid channel: Google Ads — $4,200 spend → 186 conversions ($22.58 CPA).
Underperforming: LinkedIn Brand Refresh — $3,800 for only 94 conversions ($40.43 CPA), nearly double Google's cost per acquisition.
Done! I've added a bar chart showing spend vs. conversions by channel. The LinkedIn campaign stands out as the clear underperformer — I'd recommend reallocating that $3,800 to Organic and Email, which have the best conversion rates. Want me to model what that reallocation would look like?
Here's what I found across your 5 active campaigns:
Top performer: Product Hunt (Organic) — 528 conversions at $0 spend. This is your highest-converting channel by far.
Best paid channel: Google Ads — $4,200 spend → 186 conversions ($22.58 CPA).
Underperforming: LinkedIn Brand Refresh — $3,800 for only 94 conversions ($40.43 CPA), nearly double Google's cost per acquisition.
Done! I've added a bar chart showing spend vs. conversions by channel. The LinkedIn campaign stands out as the clear underperformer — I'd recommend reallocating that $3,800 to Organic and Email, which have the best conversion rates. Want me to model what that reallocation would look like?
DATEdate | CONVERSIONS# | TOTAL_SPEND# | TOTAL_IMPRESSIONS# |
|---|---|---|---|
| 2026-01-26 | 1 | 4200 | 18600 |
| 2026-01-25 | 3 | 3800 | 12400 |
| 2026-01-24 | 2 | 1200 | 9200 |
| 2026-01-23 | 2 | 2900 | 15800 |
| 2026-01-22 | 1 | 0 | 0 |
DAG Notebooks
List + graph views backed by explicit cell dependencies (DAGs).
Data Conversations
Chat with your data for fast exploration—no hidden DAG required.
Data Connectors
Bring your own data from databases and warehouses into one workspace.
Semantic Model
Ground the AI with metrics, dimensions, joins, and business definitions.
Explore the platform
These are the shipped product surfaces in 42Cells—designed to turn questions into executable, reviewable workflows.
Notebooks
List and graph views for reproducible notebook workflows. See dependencies, rerun analyses, and collaborate in real time.
| CHANNEL | CPA |
|---|---|
| $22.58 | |
| $3.85 | |
| Meta | $19.73 |
Google Ads has the lowest CPA at $22.58. I've created Cell 10 with the breakdown and added two charts derived from it.
Conversations
Chat with your data — run SQL, join across databases, and build charts.
| date | type | count |
|---|---|---|
| 2026-01-23 | Notebooks | 104 |
| 2026-01-24 | Notebooks | 56 |
| 2026-01-25 | Notebooks | 267 |
Now let me create a line chart to show these trends over time:
Conversations have maintained steadier daily creation rates, while Notebooks show more variance.
Connections
Connect databases and explore schemas and tables—so analysis stays grounded in real execution.
Semantic Catalog
Create semantic layers with drafts, versions, and publishing—so definitions stay consistent.
Agent Studio
Visibility into agent usage across notebooks and semantic layers—so teams can improve reliability and outcomes.
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